DSCI415 — Unsupervised Learning
DSCI 415 - Unsupervised Learning DSCI 415 - Unsupervised Learning (3 credits) An introduction to machine or statistical learning techniques for finding structure in large complex data. Unsupervised learning methods such as clustering, association rules, text mining, recommender systems and dimension reduction methods will be discussed. Grade or P/NC. all semester alternate years. Course Registration
Prerequisites: MATH222, MATH311, DSCI325